Triple

T5585608
Position Surface form Disambiguated ID Type / Status
Subject Specimen Days E146747 entity
Predicate author P4 FINISHED
Object Walt Whitman E12563 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Walt Whitman | Statement: [Specimen Days, author, Walt Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walt Whitman
Context triple: [Specimen Days, author, Walt Whitman]
  • A. Walt Whitman
    Walt Whitman was an American character actor of the silent film era, known for his supporting roles in numerous early 20th-century motion pictures.
  • B. Walt Whitman chosen
    Walt Whitman was a pioneering 19th-century American poet and essayist best known for his groundbreaking poetry collection "Leaves of Grass," which profoundly influenced modern literature.
  • C. Whitman
    Whitman is a small town in Plymouth County, Massachusetts, known as the birthplace of the chocolate chip cookie.
  • D. Edward Dickinson
    Edward Dickinson was a prominent 19th-century Amherst lawyer, politician, and civic leader best known as the father of poet Emily Dickinson.
  • E. Carl Sandburg
    Carl Sandburg was an American poet, writer, and folklorist known for his free-verse depictions of industrial America and his celebrated biography of Abraham Lincoln.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020871a3c8190991f291295cadfa5 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0918b088190b0fcd0ab02091eb2 completed March 23, 2026, 3:16 a.m.
Created at: March 22, 2026, 3:38 p.m.